events

Image Creation with Generative AI

Description: This course explores image creation with generative AI. Participants will gain a primer on generative AI tools for image creation, considerations for using generative AI, and best practices for creating effective and accessible images for various use cases. Through hands-on activities, participants will develop skills in crafting descriptive prompts and selecting
appropriate visual styles to generate unique images with ChatGPT, Microsoft Copilot, and Adobe Firefly.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.

*Disclaimers

  • This course utilizes Adobe tools which are available to all faculty, staff and students.
  • Adobe Firefly and Express are accessed via the web. Participants do NOT need to download Adobe Creative Cloud.

Objectives: In this course, you will learn to:  

  • Understand the basics of generative AI technology for image creation
  • Write descriptive prompts and use visual style options to generate images
  • Employ best practices for creating effective and accessible images

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI tools for image creation

Image Creation with Generative AI

Description: This course explores image creation with generative AI. Participants will gain a primer on generative AI tools for image creation, considerations for using generative AI, and best practices for creating effective and accessible images for various use cases. Through hands-on activities, participants will develop skills in crafting descriptive prompts and selecting
appropriate visual styles to generate unique images with ChatGPT, Microsoft Copilot, and Adobe Firefly.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.

*Disclaimers

  • This course utilizes Adobe tools which are available to all faculty, staff and students.
  • Adobe Firefly and Express are accessed via the web. Participants do NOT need to download Adobe Creative Cloud.

Objectives: In this course, you will learn to:  

  • Understand the basics of generative AI technology for image creation
  • Write descriptive prompts and use visual style options to generate images
  • Employ best practices for creating effective and accessible images

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI tools for image creation

AI Literacy Essentials: Critical Analysis of Generative AI

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Describe how AI models are trained on data
  • Summarize how misinformation and biases occur from training data
  • Identify types of biases that arise in AI outputs
  • Critically analyze AI outputs for accuracy and potential biases
  • Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Critical Analysis of Generative AI

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Describe how AI models are trained on data
  • Summarize how misinformation and biases occur from training data
  • Identify types of biases that arise in AI outputs
  • Critically analyze AI outputs for accuracy and potential biases
  • Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Prompting for Practical Applications

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

  • Write effective prompts to get accurate and useful results from AI tools
  • Refine and improve AI outputs using practical feedback and iteration techniques
  • Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Prompting for Practical Applications

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

  • Write effective prompts to get accurate and useful results from AI tools
  • Refine and improve AI outputs using practical feedback and iteration techniques
  • Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

AI Literacy Essentials: Introduction to Generative AI

Description: This course introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will engage in hands-on interaction with AI chatbots (Microsoft Copilot or OpenAIChatGPT) to begin generating practical outputs for a variety of use cases.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Summarize what generative AI is, how it works, and how it differs from other AI types
  • Describe accuracy and ethical considerations associated with generative AI
  • Identify task-related opportunities with generative AI
  • Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

AI Literacy Essentials: Introduction to Generative AI

Description: This course introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will engage in hands-on interaction with AI chatbots (Microsoft Copilot or OpenAIChatGPT) to begin generating practical outputs for a variety of use cases.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

  • Summarize what generative AI is, how it works, and how it differs from other AI types
  • Describe accuracy and ethical considerations associated with generative AI
  • Identify task-related opportunities with generative AI
  • Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

AI in Higher Education: A CSU Insight Debate and Dialogue

Join us for a conversation where people can say what they actually think about AI and discover how different the issue looks from other corners of higher education.

An Insight Debate is not a traditional debate — it’s a facilitated conversation designed to draw out a wide range of perspectives and identify where unexpected overlap exists. This event is a chance to meet CSU colleagues & students you wouldn’t normally be in a room with and begin building a wider intellectual community across institutions.

No preparation required, thoughtful listeners welcome!

AI in Higher Education Debate flyer

AI and the Environment: Separating Myth from Measurable Impact

Artificial intelligence and the data centers that power the technology are portrayed as a major threat to the environment—consuming vast amounts of energy, water, and accelerating climate change. A burgeoning anti-Data Center movement is spawning across the country. Here in the California State University system and at San Francisco State University, 80 percent of students, faculty, and staff cite environmental impact as a major concern about AI.

This webinar hosts Andy Masley, an independent writer and researcher, focused on AI, environmental issues, and other topics, who explores the environmental impact of AI, media headlines, and emerging research. His work broadens the view of widely held assumptions highlighting where concerns are well-founded and identifying where the conversation may be missing important context.

This webinar is open to all San Francisco State University and California State University faculty, students, and staff. Come join this opportunity to learn more about this critical concern and to continue the conversations on our campuses and in our classrooms.